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""" |
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Motorized Individual Travel (MIT) Charging Infrastructure |
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Main module for preparation of static model data for charging infrastructure for |
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motorized individual travel. |
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""" |
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from __future__ import annotations |
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from pathlib import Path |
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import zipfile |
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from loguru import logger |
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import requests |
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from egon.data import config, db |
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from egon.data.datasets import Dataset |
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from egon.data.datasets.emobility.motorized_individual_travel_charging_infrastructure.db_classes import ( # noqa: E501 |
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EgonEmobChargingInfrastructure, |
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) |
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from egon.data.datasets.emobility.motorized_individual_travel_charging_infrastructure.infrastructure_allocation import ( # noqa: E501 |
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run_tracbev, |
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) |
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WORKING_DIR = Path(".", "charging_infrastructure").resolve() |
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DATASET_CFG = config.datasets()["charging_infrastructure"] |
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def create_tables() -> None: |
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""" |
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Create tables for charging infrastructure |
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Returns |
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------- |
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None |
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""" |
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engine = db.engine() |
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EgonEmobChargingInfrastructure.__table__.drop(bind=engine, checkfirst=True) |
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EgonEmobChargingInfrastructure.__table__.create( |
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bind=engine, checkfirst=True |
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) |
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logger.debug("Created tables.") |
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def download_zip(url: str, target: Path, chunk_size: int | None = 128) -> None: |
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""" |
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Download zip file from URL. |
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Parameters |
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---------- |
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url : str |
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URL to download the zip file from |
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target : pathlib.Path |
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Directory to save zip to |
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chunk_size: int or None |
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Size of chunks to download |
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""" |
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r = requests.get(url, stream=True) |
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target.parent.mkdir(parents=True, exist_ok=True) |
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with open(target, "wb") as fd: |
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for chunk in r.iter_content(chunk_size=chunk_size): |
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fd.write(chunk) |
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def unzip_file(source: Path, target: Path) -> None: |
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""" |
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Unzip zip file |
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Parameters |
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---------- |
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source: Path |
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Zip file path to unzip |
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target: Path |
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Directory to save unzipped content to |
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""" |
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with zipfile.ZipFile(source, "r") as zip_ref: |
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zip_ref.extractall(target) |
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def get_tracbev_data() -> None: |
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""" |
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Wrapper function to get TracBEV data provided on Zenodo. |
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""" |
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tracbev_cfg = DATASET_CFG["original_data"]["sources"]["tracbev"] |
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file = WORKING_DIR / tracbev_cfg["file"] |
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download_zip(url=tracbev_cfg["url"], target=file) |
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unzip_file(source=file, target=WORKING_DIR) |
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class MITChargingInfrastructure(Dataset): |
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""" |
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Preparation of static model data for charging infrastructure for |
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motorized individual travel. |
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The following is done: |
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* Creation of DB tables |
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* Download and preprocessing of vehicle registration data from zenodo |
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* Determination of all potential charging locations for the four charging use cases |
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home, work, public and hpc per MV grid district |
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* Write results to DB |
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*Dependencies* |
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* :py:class:`MvGridDistricts <egon.data.datasets.mv_grid_districts.mv_grid_districts_setup>` |
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* :py:func:`map_houseprofiles_to_buildings <egon.data.datasets.electricity_demand_timeseries.hh_buildings.map_houseprofiles_to_buildings>` |
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*Resulting tables* |
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* :py:class:`grid.egon_emob_charging_infrastructure |
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<egon.data.datasets.emobility.motorized_individual_travel_charging_infrastructure.db_classes.EgonEmobChargingInfrastructure>` |
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is created and filled |
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*Configuration* |
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The config of this dataset can be found in *datasets.yml* in section |
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*charging_infrastructure*. |
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*Charging Infrastructure* |
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The charging infrastructure allocation is based on |
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`TracBEV <https://github.com/rl-institut/tracbev>`_. TracBEV is a tool for the |
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regional allocation of charging infrastructure. In practice this allows users to |
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use results generated via `SimBEV <https://github.com/rl-institut/simbev>`_ and |
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place the corresponding charging |
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points on a map. These are split into the four use cases home, work, public and hpc. |
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""" |
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#: |
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name: str = "MITChargingInfrastructure" |
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#: |
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version: str = "0.0.1" |
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def __init__(self, dependencies): |
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super().__init__( |
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name=self.name, |
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version=self.version, |
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dependencies=dependencies, |
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tasks=( |
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{ |
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create_tables, |
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get_tracbev_data, |
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}, |
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run_tracbev, |
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151
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), |
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) |
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openego /
eGon-data
